O. Manabe

Hokkaido University

Poster Author Of 4 e-Posters

 Annual Meeting
Physics, Instrumentation & Data Sciences -> Data Sciences

A semi-automated method to separate tumor from physiological uptakes on FDG PET-CT for efficient generation of training data targeting deep learning (ID 1527)

Session Name
POP (Poster Oral Presentations) Ups
Speakers
Authors
Presentation Topic
Physics, Instrumentation & Data Sciences -> Data Sciences
Cardiovascular -> Clinical Science 170

170 - ECG-gated dynamic myocardial PET with 15O-H2O estimated higher perfusable tissue fraction in the ischemic myocardial lesions after revascularization: compared with conventional non-gated PET (ID 1041)

Session Name
21 - Cardiovascular Clinical Science: Advances in Clinical Utility of Myocardial Blood Flow Quantification
Speakers
Authors
Presentation Topic
Cardiovascular -> Clinical Science
Presentation Number
170
Physics, Instrumentation & Data Sciences -> Data Analysis & Management 259

259 - Strategy to improve the detectability of Myocardial Flow Reserve in the ischemic myocardial lesion after revascularization using ECG-gated dynamic myocardial PET with 15O-H2O: Comparison with non-gated PET (ID 410)

Session Name
32 - Cardiac and Cancer Imaging (Data Management, PIDS)
Speakers
Authors
Presentation Topic
Physics, Instrumentation & Data Sciences -> Data Analysis & Management
Presentation Number
259
Physics, Instrumentation & Data Sciences -> Data Sciences 1213

1213 - A semi-automated method to separate tumor from physiological uptakes on FDG PET-CT for efficient generation of training data targeting deep learning (ID 534)

Session Name
Data Sciences Posters
Speakers
Authors
Presentation Topic
Physics, Instrumentation & Data Sciences -> Data Sciences
Presentation Number
1213